2023 4th International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023)
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Prof. Fushuan Wen

Zhejiang University


Professor of Zhejiang University, Doctoral supervisor, Director of the Institute of Electric Power Economy and Informatization of Zhejiang University, Special Professor of "Pearl River Scholars" of Guangdong Province (concurrently from 2005 to 2010). He has been a professor, visiting professor or visiting researcher at the National University of Singapore, the Hong Kong Polytechnic University, the University of Hong Kong, the University of New South Wales in Australia, Queensland University of Technology in Australia, Brunei University of Technology, Danish University of Technology, Nanyang Technological University in Singapore, and Murdoch University in Australia. He is mainly engaged in the research of power system fault diagnosis and system restoration, power economy and power market, smart grid and electric vehicles, etc.

More than 600 papers have been published, more than 150 papers have been included in SCI, more than 450 papers have been included in EI, more than 570 papers have been included in Scopus, and more than 10,000 papers have been cited. Professor Wen Futian was selected as one of the most Cited Scholars in China in 2015, 2016 and 2017 by Elsevier. His published papers were selected as one of the "100 Most Influential Domestic Academic Papers in China" and "ESI (Essential Science Indicators) Highly Cited Papers". 8 papers were selected as "Pacesetter 5000 -- Top Academic Papers in China's Quality Science and Technology Journals" (F5000 for short). The research result "The research on the theory and method of AC and DC power system Modeling, analysis and control" won the National Natural Science Award in 1997. The other six achievements won provincial and ministerial science and technology progress awards. He has completed and undertaken more than 150 scientific research projects of the Ministry of Science and Technology, 863 projects, National Science and Technology Support Program projects, National Natural Fund projects, State Grid Corporation, China Southern Power Grid Corporation, etc.

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Prof. Yanjiao Chen

Zhejiang University


Yanjiao Chen received her B.E. degree in Electronic Engineering from Tsinghua University in 2010 and Ph.D. degree in Computer Science and Engineering from Hong Kong University of Science and Technology in 2015. She is currently a Bairen Researcher in the College of  Electrical Engineering, Zhejiang University, China. Her research interests include ML security, AI in networking, and mobile sensing. Yanjiao has published papers in ACM CCS, IEEE INFOCOM, ICDCS, etc. Yanjiao has served on the editorial board of IEEE WCL and served as TPC member in IEEE INFOCOM, NDSS,  ICNP, etc.


Associate Professor Chuanjun Zhao

School of Information, Shanxi University of Finance and Economics


Zhao Chuanjun, Associate professor of School of Information, Shanxi University of Finance and Economics, postdoctoral fellow of Computer Science and Technology, master tutor of Computer Application Technology, member of Emotional Computing Committee of Chinese Information Society of China. His research interests include data mining and natural language processing. In the early stage, it undertook the National Natural Science Foundation of China, the Industry-University Cooperative Education Project of the Ministry of Education, the Natural Science Foundation of Shanxi Province, the Science and Technology innovation Project of the Department of Education of Shanxi Province, the Graduate Education reform innovation project of Shanxi Province, and the Teaching reform innovation project of higher education institutions of Shanxi Province. In journals such as Information Science, Computer Speech and Language, Knowledge-based Systems, Computer Research and Development, Software Journal, Proceedings of the 2014 IEEE International Conference on Data Mining Workshop (ICDMW), Proceedings of the The Chinese National Conference on Social Media Processing has published more than 10 high-level papers, applied for and obtained a number of invention patents, and approved more than 30 software Copyrights.

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Prof. Arun Balodi

Visvesvaraya Technological University, Karnataka/Electronics and Communication Engineering


Dr Arun Balodi, Senior Member IEEE, Fellow IETE, Life Member ISTE is currently working as Professor & Head at Atria Institute of Technology in Bangalore, India. Dr Arun bestowed with PhD, Electrical Engineering, Indian Institute of Technology, Roorkee, India, 2018, M. Tech., Digital Signal Processing, Govind Ballabh Pant Engineering College, Pauri, India, 2010, and B.Tech. in Electronics and Communication Engineering, Uttar Pradesh Technical University, Lucknow, India, 2005. He was awarded Gold Medal in M. Tech., and the Academic Excellence award in the year 2010 and 2011. His research area in Biomedical Signal and Image Processing, Artificial Intelligence. Dr Arun has more than 14 years of teaching and research experience in the various institutions in India, which include Shobhit Institute of Engineering and Technology, Gangoh, Saharanpur, Shivalik College of Engineering, Dehradun, National Institute of Technology, Delhi, and presently, Atria Institute of Technology, Bangalore, India. Dr Arun also received MHRD scholarships during the research work at IIT Roorkee. His research area is Digital Signal and Image Processing, Medical Image Analysis, Machine Learning and Pattern Recognition. He has published more than 14 papers in peer-reviewed journals and international conferences. He is an active researcher and reviewer for various indexed Journals and Conferences and given various technical talks. He has actively participated in more than 22 FDPs and more than 100 webinars and conducted workshops in the domain of Signal and Image Processing. He is currently advising IEEE Student Branch at Atria Institute of Technology, Bangalore, for the IEEE Bangalore Section.


Prof. Goh Hui Hwang

Department of Electrical Engineering, Guangxi University, China

Experience: Professor Goh Hui Hwang is a practising electrical consultant and Registered Electrical Energy Manager. His technical interests and expertise include electrical engineering, power systems, renewable and sustainable energy, embedded power generation, wavelet analysis, load shedding, and data mining. Since 2008, Ir. Goh has been dedicating his profession to leading various research projects, putting his main focus on fostering innovation, development, and testing of new technologies that can be used to address sustainable energy issues in the developing world. He has won medals from many international expos, for the significant contributions of his innovations to the progress and welfare of the community. On top of his academic leadership, Ir. Goh further contributes to the promoting and fostering of the development of science, engineering and technology as an Associate of the Academy of Science Malaysia. He is a member of the Senior Evaluation Panel for Engineering Accreditation Council (EAC) of the Board of Engineers Malaysia (BEM). Besides, he is also active in The Institution of Engineers, Malaysia (Southern Branch) as the Advisor of IEM Student Section UTHM.


Prof. Liang Hu

Dept. of Computer Science and Technology, Tongji University, China

Experience: Prof. Liang Hu is is a full professor with Tongji University and also the Chief AI Scientist with DeepBlue Academy of Science, China. His research interests include recommender systems, machine learning, data science and general intelligence. He has published a number of papers in top-rank international conferences and journals, including WWW, IJCAI, AAAI, ICDM, ICWS, TOIS, IEEE-IS. He has been invited as the program committee of more than 30 top-rank AI international conferences, including AAAI, IJCAI, ICDM, CIKM, and KDD. He also serves as the reviewer of more than ten AI and data science-related international journals, including ACM CSUR, IEEE TKDE, ACM TOIS, IEEE TPAMI, etc. In addition, he has presented eight tutorials on recommender systems and machine learning at top-rank AI conferences including IJCAI, AAAI, SIGIR, and ICDM.